Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features

13 August 2015

Papers citing "Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features"

50 / 58 papers shown

Title
Target Attack Backdoor Malware Analysis and Attribution Anthony Cheuk Tung Lai Vitaly Kamluk Alan Ho Ping Fan Ke Byron Wai 74 0 0 04 Feb 2025
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning Eric Li Yifan Zhang Yu Huang Kevin Leach 39 0 0 20 Sep 2024
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Christian Scano Battista Biggio Ivan Tesfai Ogbu Fabio Roli 49 0 0 23 May 2024
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 37 0 0 20 May 2024
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance Savino Dambra Yufei Han Simone Aonzo Platon Kotzias Antonino Vitale Juan Caballero Davide Balzarotti Leyla Bilge 21 23 0 27 Jul 2023
Sequential Embedding-based Attentive (SEA) classifier for malware classification Muhammad Ahmed Anam Qureshi J. Shamsi Murk Marvi 19 1 0 11 Feb 2023
Machine Learning for Detecting Malware in PE Files Collin Connors Dilip Sarkar 22 6 0 12 Dec 2022
Adversarial Attacks on Transformers-Based Malware Detectors Yash Jakhotiya Heramb Patil Jugal Rawlani Dr. Sunil B. Mane AAML 23 4 0 01 Oct 2022
Firenze: Model Evaluation Using Weak Signals Bhavna Soman A. Torkamani Michael J. Morais Jeffrey Bickford Baris Coskun 35 2 0 02 Jul 2022
Do You Think You Can Hold Me? The Real Challenge of Problem-Space Evasion Attacks Harel Berger A. Dvir Chen Hajaj Rony Ronen AAML 29 3 0 09 May 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 47 74 0 23 Dec 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries P. Dasgupta Zachary Osman AAML 36 2 0 22 Nov 2021
AI Total: Analyzing Security ML Models with Imperfect Data in Production Awalin Sopan Konstantin Berlin 26 2 0 13 Oct 2021
Power-Based Attacks on Spatial DNN Accelerators Ge Li Mohit Tiwari Michael Orshansky 38 8 0 28 Aug 2021
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 41 21 0 09 Aug 2021
Segmented Federated Learning for Adaptive Intrusion Detection System Geet Shingi Harsh Saglani Preeti Jain FedML 16 2 0 02 Jul 2021
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Christian Scano Battista Biggio AAML 37 11 0 26 Apr 2021
Anomaly Detection Support Using Process Classification Sebastian Eresheim Lukas Daniel Klausner Patrick Kochberger 20 0 0 13 Jan 2021
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS Mohit Sewak S. K. Sahay Hemant Rathore 17 7 0 26 Dec 2020
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability Ishai Rosenberg Shai Meir J. Berrebi I. Gordon Guillaume Sicard Eli David AAML SILM 11 25 0 28 Sep 2020
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection Christian Scano Scott E. Coull Battista Biggio Giovanni Lagorio A. Armando Fabio Roli AAML 35 59 0 17 Aug 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 29 54 0 15 Jun 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 24 52 0 24 May 2020
Functionality-preserving Black-box Optimization of Adversarial Windows Malware Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 28 139 0 30 Mar 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 53 27 0 06 Mar 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses Yue Gao Harrison Rosenberg Kassem Fawaz S. Jha Justin Hsu AAML 24 6 0 03 Mar 2020
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Giorgio Severi J. Meyer Scott E. Coull Alina Oprea AAML SILM 29 18 0 02 Mar 2020
Tools and Techniques for Malware Detection and Analysis Sajedul Talukder 14 33 0 17 Feb 2020
Using Deep Learning to Solve Computer Security Challenges: A Survey Yoon-Ho Choi Peng Liu Zitong Shang Haizhou Wang Zhilong Wang Lan Zhang Junwei Zhou Qingtian Zou AAML 30 33 0 12 Dec 2019
Neurlux: Dynamic Malware Analysis Without Feature Engineering Chani Jindal Christopher Salls H. Aghakhani Keith Long Christopher Kruegel Giovanni Vigna 24 62 0 24 Oct 2019
Ransomware Analysis using Feature Engineering and Deep Neural Networks Arslan Ashraf Abdul Aziz Umme Zahoora Muttukrishnan Rajarajan Asifullah Khan 24 11 0 01 Oct 2019
A Convolutional Transformation Network for Malware Classification Duc-Ly Vu Trong-Kha Nguyen Tam V. Nguyen Tu N. Nguyen Fabio Massacci Phu H. Phung 11 50 0 16 Sep 2019
Malware Detection with LSTM using Opcode Language Renjie Lu 9 42 0 10 Jun 2019
On Training Robust PDF Malware Classifiers Yizheng Chen Shiqi Wang Dongdong She Suman Jana AAML 50 68 0 06 Apr 2019
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation Ethan M. Rudd Felipe N. Ducau Cody Wild Konstantin Berlin Richard E. Harang AAML 19 29 0 13 Mar 2019
On the security relevance of weights in deep learning Kathrin Grosse T. A. Trost Marius Mosbach Michael Backes Dietrich Klakow AAML 32 6 0 08 Feb 2019
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 24 129 0 11 Jan 2019
A short review on Applications of Deep learning for Cyber security R. MohammedHarunBabu R. Vinayakumar K. Soman AAML 17 19 0 15 Dec 2018
Deep Learning Application in Security and Privacy -- Theory and Practice: A Position Paper Julia A. Meister Raja Naeem Akram K. Markantonakis 26 0 0 01 Dec 2018
Towards Principled Uncertainty Estimation for Deep Neural Networks Richard E. Harang Ethan M. Rudd BDL UQCV 33 6 0 29 Oct 2018
Applications of Graph Integration to Function Comparison and Malware Classification M. Slawinski Andy Wortman 17 2 0 11 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 22 67 0 30 Sep 2018
Deep learning at the shallow end: Malware classification for non-domain experts Quan Le Oisín Boydell Brian Mac Namee Mark Scanlon 78 173 0 22 Jul 2018
Non-Negative Networks Against Adversarial Attacks William Fleshman Edward Raff Jared Sylvester Steven Forsyth Mark McLean AAML 27 41 0 15 Jun 2018
Hardware Trojan Attacks on Neural Networks Joseph Clements Yingjie Lao AAML 27 89 0 14 Jun 2018
MEADE: Towards a Malicious Email Attachment Detection Engine Ethan M. Rudd Richard E. Harang Joshua Saxe 33 33 0 22 Apr 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 504 0 13 Mar 2018
Microsoft Malware Classification Challenge Royi Ronen Marian Radu Corina Feuerstein E. Yom-Tov Mansour Ahmadi 16 377 0 22 Feb 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 38 207 0 26 Jan 2018
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware Abdullah Al-Dujaili Alex Huang Erik Hemberg Una-May O’Reilly AAML 25 186 0 09 Jan 2018